Interference Analysis for Automotive Radar Using Matern Hard-Core Point Process

Abstract

As the increasing number of vehicles equipped with millimeter wave (mmWave) radars, mutual interference is becoming more serious, leading to the degradation of radar performance. This paper explores the automotive radar interference in multi-lane road scenario by utilizing stochastic geometry. Different from previous Poisson point process (PPP) modeling, the vehicles are modeled by type II Matern hard-core process (MHCP), in which the vehicle length and mutual separation are considered in a real traffic. Apart from direct incident interference, we also analyze mainly reflected echo interference in detail, usually ignored in prior works. Moreover, the fluctuation of the target radar cross-section (RCS) is modeled by Chi-square model. According to the mean interference characterization and the RCS model, we derive the closed-form expression for successful ranging probability based on signal-to-noise-plus-interference ratio (SINR). Our theoretical analyses are verified by using Monte Carlo simulations.